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Ask HN: Which mathematics books taught you the most in your career?

31 点作者 debanjan16将近 3 年前
As someone who does mathematics or uses it extensively in your day job or research, which books do you think taught you the most and why?<p>You may be someone who belong to a field related to mathematics like CS, economics, etc.

11 条评论

ybogomolov将近 3 年前
Definitely “Seven Sketches in Compositionality”! [1]<p>———<p>[1] <a href="https:&#x2F;&#x2F;math.mit.edu&#x2F;~dspivak&#x2F;teaching&#x2F;sp18&#x2F;7Sketches.pdf" rel="nofollow">https:&#x2F;&#x2F;math.mit.edu&#x2F;~dspivak&#x2F;teaching&#x2F;sp18&#x2F;7Sketches.pdf</a>
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noud将近 3 年前
Professional mathematician (but in business, not academia). I hold a PhD in mathematical physics. Below the list of books that taught me the most. However, these books are often not directly related to my current work. Also, I don&#x27;t think they will be useful for everyone, as some of them are strong specialized books. These books mostly taught me to <i>think</i> like a mathematician. One of the strongest skills I learned as a mathematician is to dive deep into a topic and learn almost everything that you can learn about it (going from 80% of knowledge to 99.9%). I &quot;read&quot; these books completely several times in my career.<p>* Atiyah, Macdonald - Introduction to Commutative Algebra.<p>* Bourbaki (in French).<p>* Gasper, Rahman - Basic Hypergeometric Functions.<p>* Hasti et al - Elements Of Statistical Learning.<p>* Rudin - Real &amp; Complex Analysis.<p>* Thomas, Thomas - Elements of Information Theory.
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dmr_92将近 3 年前
Bit of a brain dump here. Serre&#x27;s <i>Trees</i> was pretty relevant to my studies, though left quite a few gaps for the reader to fill in.<p>Meier&#x27;s <i>Groups, Graphs and Trees</i> is much more accessible and visual. Strongly recommended!<p>Knuth&#x27;s notes on how to write mathematics well [1] were very influential.<p>Munkres&#x27; <i>Topology</i> is a classic, but I think I leaned more on Hatcher&#x27;s <i>Algebraic Topology</i> towards the end.<p>Drobot&#x27;s <i>Formal Languages and Automata Theory</i> was a lot of fun to self-study.<p>The <i>Graduate Texts in Mathematics</i> series was always reliable in my experience.<p>[1]: <a href="https:&#x2F;&#x2F;www-cs-faculty.stanford.edu&#x2F;~knuth&#x2F;klr.html" rel="nofollow">https:&#x2F;&#x2F;www-cs-faculty.stanford.edu&#x2F;~knuth&#x2F;klr.html</a>
ystad将近 3 年前
Statistics by Roger Purves, David Freedman, Robert Pisani<p>Introduction to Linear Algebra, by Gilbert Strang<p>A lot of my learning was self study. These books were very helpful to me.
jwilber将近 3 年前
Elements of Statistical Learning
jnash将近 3 年前
Software Foundations (<a href="https:&#x2F;&#x2F;softwarefoundations.cis.upenn.edu&#x2F;" rel="nofollow">https:&#x2F;&#x2F;softwarefoundations.cis.upenn.edu&#x2F;</a>)
tanganian将近 3 年前
The Foundations of Mathematics - Ian Stewart.<p>I wouldn&#x27;t say it taught me the most, but more like it opened the door so I could learn the most out of everything after it.
newsoul将近 3 年前
For me it was Apostol&#x27;s Calculus Vol 1 and Vol 2.<p>I am searching for books in mathematics that teach both the how and the why, here: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=31650459" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=31650459</a><p>I hope to get some insightful answers soon.
avemuri将近 3 年前
Nonlinear Dynamics and Chaos by Strogatz
jonrl1811将近 3 年前
Rudin&#x27;s Real &amp; Complex Analysis.
orionblastar将近 3 年前
Statistics for six sigma quality control.